In the era of big data and complex information retrieval tasks, multi-agent systems play a crucial role in handling large-scale, complex queries across various domains. Traditional approaches, such as ...

A recent study published in Engineering presents a novel framework named ERQA (mEdical knowledge Retrieval and Question-Answering), which is powered by an enhanced large language model (LLM). This ...

In the digital age, the ability to find relevant information quickly and accurately has become increasingly critical. From simple web searches to complex enterprise-knowledge management systems, ...

QaECTER is an embedding model that performs patent retrieval and is designed to improve the output of Questel’s gen AI products. QaECTER powers an upgrade to semantic search across Questel's product ...